A meta-evaluation of faithfulness metrics for long-form hospital-course summarization
Long-form clinical summarization of hospital admissions has real-world significance
because of its potential to help both clinicians and patients. The factual consistency of …
because of its potential to help both clinicians and patients. The factual consistency of …
Human evaluation and correlation with automatic metrics in consultation note generation
In recent years, machine learning models have rapidly become better at generating clinical
consultation notes; yet, there is little work on how to properly evaluate the generated …
consultation notes; yet, there is little work on how to properly evaluate the generated …
[HTML][HTML] Comparison of automatic summarisation methods for clinical free text notes
Objective A major source of information available in electronic health record (EHR) systems
are the clinical free text notes documenting patient care. Managing this information is time …
are the clinical free text notes documenting patient care. Managing this information is time …
DCDSum: An interpretable extractive summarization framework based on contrastive learning method
As the phenomenon of knowledge overload becomes more and more obvious, the
automatic summarization technology still needs to break through the bottleneck in order to …
automatic summarization technology still needs to break through the bottleneck in order to …
[HTML][HTML] What's in a summary? laying the groundwork for advances in hospital-course summarization
Summarization of clinical narratives is a long-standing research problem. Here, we
introduce the task of hospital-course summarization. Given the documentation authored …
introduce the task of hospital-course summarization. Given the documentation authored …
Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan
Automated summarization of clinical texts can reduce the burden of medical professionals.“
Discharge summaries” are one promising application of the summarization, because they …
Discharge summaries” are one promising application of the summarization, because they …
A new method for extractive text summarization using neural networks
SR Chowdhury, K Sarkar - SN Computer Science, 2023 - Springer
Summarization aims at extracting the salient information from a document and presenting
the extracted information in a condensed form. Most existing methods for extractive text …
the extracted information in a condensed form. Most existing methods for extractive text …
Enumeration of extractive oracle summaries
To analyze the limitations and the future directions of the extractive summarization
paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain …
paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain …
Towards objectively evaluating the quality of generated medical summaries
We propose a method for evaluating the quality of generated text by asking evaluators to
count facts, and computing precision, recall, f-score, and accuracy from the raw counts. We …
count facts, and computing precision, recall, f-score, and accuracy from the raw counts. We …
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?
During the patient's hospitalization, the physician must record daily observations of the
patient and summarize them into a brief document called “discharge summary” when the …
patient and summarize them into a brief document called “discharge summary” when the …